Sheih Kiong Tiong

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  • Mohanad Ghazi, Khamees Ali, Oday Abdul Lateef, Abdul Ridha, Wassim Raad, Tarek Sheltami +29 others
  • 2016
In this paper, various aspects of smart grids are described. These aspects include the components of smart grids, the detailed functions of the smart energy meters within the smart grids and their effects on increasing the awareness, the advantages and disadvantages of smart grids, and the requirements of utilizing smart grids. To put some light on the(More)
The Pendulum-like algorithm is based on the concepts of the pendulum. All the ideas that are derived have been embedded into the suggested method. The Pendulum-like algorithm introduced, is expected to provide very good results in solving the optimization problems. This is due to the fact that Pendulum-like algorithm is a method with directed force which is(More)
The fuzzy rule sets, which have been derived from the hybrid neural network model, called the O-EGART-PR-FIS, is an integration of the Adaptive Resonance Theory (ART) into Generalized Regression Neural Network (GRNN), display substantial redundancy and low interpretability that leads to time-consuming prediction process. The O-EGART-PR-FIS approach can(More)
Artificial immune system (AIS) is one of the nature-inspired algorithm for optimization problem. In AIS, clonal selection algorithm (CSA) is able to improve global searching ability. However, the CSA convergence and accuracy can be further improved because the hypermutation in CSA itself cannot always guarantee a better solution. Alternatively, Genetic(More)
In this paper, a crossover factor, f<sub>TIG</sub> is introduced to the Finite Persisting Sphere Genetic Algorithm (FPSGA). The factor provides a variable range of the loop in the process of Finite Persisting Sphere. By the existing of the variable range, the risk to have too large number of loop or too small number of loop in the FPSGA can be reduced. Too(More)
Efficient methods for DTMF signal detection are important for developing telecommunication equipment. This paper presents a hybrid signal processing and artificial intelligence based approach for the detection of Dual-tone Multifrequency (DTMF) tones under the influence of White Gaussian Noise (WGN) and frequency variation. Key innovations include the use(More)
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